I share Malcolm Gladwell’s analysis of how homelessness follows a power law distribution. It highlights how focusing resources on a small percentage of chronically homeless individuals can be more effective and cheaper than traditional broad-based social services.
I found that force-fitting a normal distribution to banking and bond data drastically understates tail risk. By ignoring power-law distributions, I underestimated worst-case scenarios that actually occur much more frequently than the bell curve predicts.
I shared a link to the Law of the Playground, a site documenting the nostalgic and often brutal folklore of schoolyard games, slang, and social rules that defined our collective childhood experiences.
Benford's Law describes the frequency distribution of leading digits in many real-life sets of numerical data. Use this mathematical principle as a tool for uncovering fraud or spotting fake data by identifying statistical anomalies.
I found the Internet Law Journal and dotcomfailures.com to be essential resources for my dot-com project. They provide detailed legal insights and case studies on failing companies during this period of internet startup volatility.
I examine George Gilder's assertion that bandwidth is replacing processing power as the primary driver of IT innovation. This shift from Moore's Law to Gilder's Law mirrors the industry's broader transition from software to online services.
Comments
bharani10 Feb 2006 12:39 am:
u got a new look! cool!
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